An Improved Vision-Based Algorithm for Unmanned Aerial Vehicles Autonomous Landing

被引：9

作者：

Zhao, Yunji ^{[1
]}

Pei, Hailong ^{[1
]}

机构：

[1] S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012) | 2012年 / 33卷

关键词：

autonomous landing; camshaft; color histogram; SURF;

D O I：

10.1016/j.phpro.2012.05.157

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

In vision-based autonomous landing system of UAV, the efficiency of target detecting and tracking will directly affect the control system. The improved algorithm of SURF(Speed Up Robust Features) will resolve the problem which is the inefficiency of the SURF algorithm in the autonomous landing system. The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift; second, detect the feature points in the region of the above acquired using the SURF algorithm; third, do the matching between the template target and the region of target in frame. The results of experiment and theoretical analysis testify the efficiency of the algorithm. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under resposibility of ICMPBE International Committee

引用

页码：935 / 941

页数：7

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